Accurate inventory management is a key element for retail companies, particularly those operating in the footwear sector, where product turnover is high and losses can significantly impact profitability. This thesis fits into this context, developed from a curricular internship at Compar S.p.A., a company operating in the distribution and retail sale of footwear. During the internship, the activities primarily focused on analyzing data relating to physical inventories conducted at the company's stores, with a specific focus on shrinkage, i.e., the discrepancies between theoretical and actual stock levels. The objective of this thesis is to provide a statistical analysis of shrinkage detected in Compar stores in order to identify recurring patterns, potential anomalies, and hypothetical causes of losses. Data processing is performed using descriptive analysis tools and graphical interpretation, with the aim of supporting the company in improving its inventory control and planning processes. The paper is divided into three chapters: the first introduces the company context and the objectives of the study, the second explains the methodology adopted and the data analysis, and the third presents the conclusions and operational implications of the project.
La gestione accurata dell’inventario rappresenta un elemento fondamentale per le aziende del settore retail, in particolare per quelle attive nel comparto del footwear, dove la rotazione dei prodotti è elevata e le perdite possono incidere significativamente sulla redditività. In questo contesto si inserisce la presente tesi, sviluppata a partire da un’esperienza di stage curricolare presso la Compar S.p.A., realtà operante nella distribuzione e vendita al dettaglio di calzature. Durante il periodo di tirocinio, le attività hanno riguardato principalmente l’analisi dei dati relativi agli inventari fisici condotti nei punti vendita dell’azienda, con un focus specifico sulle differenze inventariali, ovvero gli scostamenti tra le giacenze teoriche e quelle effettivamente rilevate. L’obiettivo della tesi è quello di fornire un’analisi statistica delle differenze inventariali rilevate negli store Compar, al fine di identificare pattern ricorrenti, eventuali anomalie e ipotetiche cause di perdita. L’elaborazione dei dati avviene tramite strumenti di analisi descrittiva e interpretazione grafica, con l’intento di supportare l’azienda nel miglioramento dei processi di controllo e pianificazione degli inventari. La trattazione è suddivisa in tre capitoli: il primo introduce il contesto aziendale e le finalità del lavoro, il secondo espone la metodologia adottata e l’analisi dei dati, mentre il terzo presenta le conclusioni e le ricadute operative emerse dal progetto.
Analisi delle perdite inventariali nel Retail: un caso studio su Compar S.p.A con PowerBI
BARONE, GIORGIA
2025/2026
Abstract
Accurate inventory management is a key element for retail companies, particularly those operating in the footwear sector, where product turnover is high and losses can significantly impact profitability. This thesis fits into this context, developed from a curricular internship at Compar S.p.A., a company operating in the distribution and retail sale of footwear. During the internship, the activities primarily focused on analyzing data relating to physical inventories conducted at the company's stores, with a specific focus on shrinkage, i.e., the discrepancies between theoretical and actual stock levels. The objective of this thesis is to provide a statistical analysis of shrinkage detected in Compar stores in order to identify recurring patterns, potential anomalies, and hypothetical causes of losses. Data processing is performed using descriptive analysis tools and graphical interpretation, with the aim of supporting the company in improving its inventory control and planning processes. The paper is divided into three chapters: the first introduces the company context and the objectives of the study, the second explains the methodology adopted and the data analysis, and the third presents the conclusions and operational implications of the project.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/106052